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Updated: Jun 2, 2026

Frame-by-Frame Video Analysis of Idiosyncratic Reach-to-Grasp Movements in Humans
Published on: January 15, 2018
Video keyframe analysis using a segment-based statistical metric in a visually sensitive parametric space
Mona Omidyeganeh1, Shahrokh Ghaemmaghami, Shervin Shirmohammadi
1Department of Electrical Engineering, Sharif University of Technology and the Distributed and Collaborative Virtual Environment Research Lab., University of Ottawa, Ottawa, ON K1N6N5, Canada. m_omid@ee.sharif.edu
Abstract:
This paper addresses a new approach to the keyframe extraction problem employing generalized Gaussian density (GGD) parameters of wavelet transform subbands along with Kullback-Leibler distance (KLD) measurement. Shot and cluster boundaries are selected using KLDs between GGD feature vectors, and then keyframes are located based on similarity and dissimilarity criteria. Objective and subjective evaluations show the high accuracy of this new approach compared with traditional methods.
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